237 citations · 478 across the 28 of their papers we have counts for
29 papers
Aligned explanations in neural networks
Corentin Lobet, Francesca Chiaromonte
As artificial intelligence increasingly drives critical decisions, the ability to genuinely explain how neural networks make predictions is essential for trust. Yet, most current e…
ARMAr-LASSO: Mitigating the Impact of Predictor Serial Correlation on the LASSO
Simone Tonini, Francesca Chiaromonte, Alessandro Giovannelli
We explore estimation and forecast accuracy for sparse linear models, focusing on scenarios where both predictors and errors carry serial correlations. We establish a clear link be…
Accurate and fast anomaly detection in industrial processes and IoT environments
Simone Tonini, Andrea Vandin, Francesca Chiaromonte +2
We present a novel, simple and widely applicable semi-supervised procedure for anomaly detection in industrial and IoT environments, SAnD (Simple Anomaly Detection). SAnD comprises…
White-box validation of quantitative product lines by statistical model checking and process mining
Roberto Casaluce, Andrea Burattin, Francesca Chiaromonte +2
We propose a novel methodology for validating software product line (PL) models by integrating Statistical Model Checking (SMC) with Process Mining (PM). Our approach focuses on th…
An efficient approach to characterize spatio-temporal dependence in cortical surface fMRI data
Huy Dang, Marzia Cremona, Nicole Lazar +1
Functional magnetic resonance imaging (fMRI) is a neuroimaging technique known for its ability to capture brain activity non-invasively and at fine spatial resolution (2-3mm). Cort…
Contrasting pre-vaccine COVID-19 waves in Italy through Functional Data Analysis
Tobia Boschi, Jacopo Di Iorio, Lorenzo Testa +2
We use data from 107 Italian provinces to characterize and compare mortality patterns in the first two COVID-19 epidemic waves, which occurred prior to the introduction of vaccines…